Tag: ai

The AI Race With China Is a Lie Told by Big Tech to Justify the Data Center Invasion

As Big Tech races to build water-guzzling, energy-hungry data centers for its artificial intelligence, talk of an “AI race” between the United States and China has permeated public discourse. Pundits, politicians, and the media have all joined tech corporations in selling this narrative. And it’s giving license to Big Tech and their political handmaidens to ruin our communities, exploit our every action (both online and via AI-powered surveillance), and steal the wealth of human knowledge for private gain.

But the idea of an AI race between China and the US isn’t grounded in reality. The researchers, companies, and governments behind Chinese and US AI development are pursuing completely different goals.

The discourse in the US assumes that achieving artificial general intelligence (AGI)—computers that mimic human consciousness—would be so momentous and earth-shattering that clearly this must be the goal of anyone pursuing AI development. But that’s not the main goal of Chinese AI development. And a competition in which the competitors are running toward different finish lines isn’t a race.

If we allow the myth of an AI race with China to give Big Tech free rein, we face a more polluted, less equal world.

A Race Doesn’t Have Two Different Finish Lines

While the US is focused on artificial general intelligence (AGI) powered by Large Language Models (LLMs), Chinese developers are focused on AI embedded in products. It’s ChatGPT versus robots.

Yes, China is developing LLMs, although largely in an open-source way as opposed to the for-profit competition in the US. Recent news stories report that China is “catching” the US in LLM development. Indeed, the latest Chinese model outperforms leading US models. But this isn’t evidence of an LLM-AGI race. Instead, it shows that without making AGI its main focus, China is capable of developing its own models almost as quickly as US companies.

More to the point, LLM development in China is incidental to the country’s real goal for AI. Its focus remains on products embedded with AI and robots. Or, as AI policy researcher Liang Zheng says, in China, “The first priority is to use it to benefit ordinary people” (debatable, but indicates the kind of AI they are pursuing).

In the US, the first priority is to exploit people so that the tech oligarchs can profit. It’s chatbots all the way down.

This isn’t to argue that China is doing it “right” and the US is doing it “wrong.” Either approach will lead to a future in which citizens become increasingly disempowered. In which work becomes more scarce and less lucrative for most people. And in which a handful of billionaires grow wealthier and more powerful.

But the arguments being hauled out to support the destructive growth of hyperscale data centers are based on a fallacy. There is no need to “beat China.” China and the US are racing on separate tracks, in different races, with different finish lines.

These two separate approaches also explain the mind-boggling scale of the data center invasion we currently face. The massive hyperscale data centers—recent proposals would demand up to 5 gigawatts, enough electricity to power roughly 3.75 million US households—are only “required” because the US is racing toward AGI. Meanwhile, the embodied AI dominating in China does not require the same amount of computational power.

The truth is, we don’t need hyperscale data centers to “beat China.” We aren’t racing China. We’re killing ourselves so Silicon Valley can race itself.

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Renewables ‘Can’t Keep Up’ With Data Center Pace. As Usual, The Left Wants Government To Step In…

The political left is worried that the rapid expansion of data centers across the U.S. – a controversial but necessary development considering our competition with China – is increasingly accompanied by the corresponding construction of stand-alone natural gas plants to provide the power demands of the centers.

In Ohio, 10 gas-fired power plants are in the works to fuel new data centers. In West Virginia, a startup business building AI compute campuses plans to utilize hundreds of gas generators by 2028. Newly minted trillionaire Elon Musk has purchased a gas turbine company specifically to power the Tennessee-based data centers fueling Grok.

Across the nation, similar stories are playing out region by region, with dedicated gas plants often backed by tech giants who once swore off fossil fuels before reality set in.

Natural gas plants can be stood up relatively quickly and deliver the massive power required to keep the U.S. ahead of its adversaries in the AI/data center race. While data centers have resulted in controversies in some local communities – an unsurprising NIMBY reaction – other places have welcomed the developments.

As stated here before, artificial intelligence is here, like it or not. The only question is who will make the rules, the U.S. or China?

Soldiers in the anti-fossil fuel brigade are once again coming face-to-face with their biggest enemy: reality. And as usual, rather than seeking to engage fairly in the free market, backers of renewables are demanding that government write regulations requiring their use.

The Associated Press recently reported that “tech giants are demanding power at such speed and scale – some data centers consume more energy than a mid-size city – that the construction of wind and solar simply can’t keep up,” giving natural gas a substantial advantage. Most people call that the free market playing out as it naturally will. The climate change fearmongers call it foul play.

To level the field, the same old playbook is once again being deployed. For instance, in Michigan, Oregon and Minnesota, laws have been enacted in the last 18 months “designed to protect their pre-existing requirements that electric utilities use only emissions-free energy sources by 2040,” AP reported, adding that similar bills are emerging in California, Illinois, New Jersey, Pennsylvania and Virginia.

New York, not surprisingly, leads the way when it comes to the heavy hand of government mandates. There, legislation would force data centers over a certain size “to meet renewable energy benchmarks starting in 2030 and, by 2040, get at least 90% of their energy from renewable energies.”

The arrogance of those demanding that alternatives be given special consideration was once more on display courtesy of a New York state lawmaker who wrote the bill in question. “We are literally talking about the wealthiest companies in the world that are looking to build in New York state,” said state Sen. Kristen Gonzalez (D), adding, “and if they have the resources to put billions of dollars into data center development, then they certainly should have the resources to build out renewable energy sources to power them.”

So there!

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“Don’t Flock Me”: Massie Readies Bill To Yank Federal Cash From Cities And Police Departments Running Flock Cameras

On Saturday, Rep. Thomas Massie (R-KY) announced he’ll soon sponsor “a bill to withhold federal money from municipalities and police departments” that deploy Flock-style cameras to surveil law-abiding citizens. He attached a Gadsden flag parody: a coiled rattlesnake wrapped around an automated license plate reader on a pole, over the words “don’t flock me.”

Rather than regulating or litigating the cameras, Massie’s bill would cut off federal funding to every city and police department that installs them. Flock’s business model runs on local government contracts across roughly 6,000 communities, so a funding-withholding bill aims directly at its customer base.

Third Strike In A Week

Massie’s bill is the third Republican move against Flock in a matter of days.

On July 21, Rep. Tim Burchett (R-TN) filed H.R. 9800, the Protection Against Mass Surveillance Act, which would bar federal agencies from purchasing, funding, or accessing automated license plate readers – Flock is named explicitly – along with biometric tracking tech covering fingerprints, iris, voice, and gait. Any data a federal agency obtained would have to be deleted within 30 days and would be inadmissible in court. Burchett’s pitch: “We gotta ban these dadgum things.”

Earlier this month, Rep. Scott Perry (R-PA) tried to attach an amendment restricting the readers in committee. It failed, and Perry responded that the fight wasn’t over: “STOP THE FLOCK.”

In April, Massie teamed with Rep. Lauren Boebert (R-CO) on the Surveillance Accountability Act, which would require a probable-cause warrant before federal or local agencies surveil Americans, ban warrantless facial recognition in public spaces, block the government from buying its way around the Fourth Amendment via third-party data brokers, and make individual federal employees personally suable for violations. Boebert’s framing: the government is building a “digital footprint of your entire life” without a warrant or probable cause.

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Georgia Cops Keep Getting Arrested And Fired For Illegally Using Flock Cameras To Stalk People, But Surely Those 17 Bad Apples Aren’t Representative Of The Entire Bunch

“Another Georgia cop accused of misusing Flock data in growing trend,” the USA Today headline reads. If you remember now-former Braselton police chief Michael Steffman’s arrest on stalking charges last year, it would be understandable if you assumed CBS News meant a second Georgia officer had been arrested for misusing Flock’s license plate data to stalk their victims. There couldn’t be that many bad cops getting arrested in one state, right? Well, that depends on whether your definition of “not that many” because USA Today reports that at least 17 Georgia cops have been accused of Flock-stalking in just the last couple of months. 

Former Sergeant Kabiru Salawu lost the job he’d held with the DeKalb County Sheriff’s Office since 2009, after he was arrested over allegations that he engaged in “unauthorized use of the agency’s Flock Safety technology.” Salawu currently faces a felony charge for violating his oath of office, but in Georgia, misuse of license plate data is charged as a misdemeanor. For now, the sheriff’s office hasn’t released any information on how it caught Salawu, nor have they explained what he’s accused of using Flock’s system to do.

According to CBS News, Salawu’s arrest brings the total number of law enforcement officers accused of abusing their access to the private surveillance system that tracks everyone everywhere all the time, even if you don’t drive a car or have a license plate visible, to 10 “in recent weeks.” Not months or years. Weeks. As internal audits continue, don’t be surprised to see those numbers rise in the coming weeks, either. Where there’s smoke, there’s usually fire, and if internal audits turned up enough evidence to charge 17 officers over the last several months, it stands to reason that ongoing investigations will turn up evidence of even more abuses within the Georgia law enforcement community.

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Flock-Powered Police Chiefs Stalking Women Shows Why Warrants Are Needed

While Flock claims its system tracks vehicles, not people, the documented record of police chiefs stalking ex-partners through Flock shows otherwise. When the most experienced, highest-ranking officers in law enforcement, the people most responsible for enforcing the rules, demonstrate ongoing abuses, the answer is the same courts have given for each generation of powerful tracking technology: require a warrant first.

The police chief of Holiday Hills, Illinois, and a part-time officer at Prairie Grove Police Department, was arrested June 18, 2026, and charged with two counts of official misconduct, a Class 3 felony.

Prosecutors alleged he used Prairie Grove’s Flock license plate reader system and the Illinois State Police LEADS database to track six people he knew personally.

Three of those people were women the chief had been in romantic relationships with, according to prosecutors at his arraignment. He also tracked an ex-boyfriend of one of those women, running that man’s plate 140 times over several months, a figure the protective order petition put at 178, with 86 of those searches conducted while off duty.

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Humanoid War Robot Gets Advanced AMD-Powered AI Brain

At the start of February, we began tracking startup Foundation Robotics after publicly available news reports and X posts suggested it could become one of the first US companies to deploy humanoid robots on the modern battlefield.

TIME later reported that the company’s robots had been sent to Ukraine for testing and evaluation, raising the prospect that these war bots could soon reach the front lines in Eastern Europe.

Our February 2 report, “Watch: Russian Soldiers Surrender To Gun-Wielding Robot; Humanoid Warfare Nears,” and our February 3 report, “AI’s Next Frontier Is Physical As Humanoid Robots Begin March On Assembly Lines And Beyond,” both preceded TIME’s coverage of Foundation by a full month and showed how these robots were being positioned for testing in Ukraine.

In another signal that Foundation is preparing its war bots for battlefield deployment, Reuters reported that the startup partnered with Advanced Micro Devices to supply high-end AI processors for its second-generation Phantom MK-2 robot.

Foundation plans to open a factory in October capable of producing 5,000 robots per year, followed by a second facility with capacity for 50,000 units. Industrial robots will be leased for about $100,000 annually, while defense models designed for logistics and reconnaissance will be sold for $300,000 per unit.

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Instagram to Ban Creeps Filming Harassment Videos with Meta Smart Glasses

Instagram has announced a new policy prohibiting videos captured with Meta smart glasses that feature harassment of strangers in public spaces, targeting creeps who film pranks and pickup attempts without clear consent. Meta’s smart glasses have picked up the nickname “pervert glasses” due to their misuse.

Business Insider reports that Instagram head Adam Mosseri revealed the platform’s crackdown on certain types of content filmed using Meta’s Ray-Ban smart glasses in a recent Instagram story response. The new policy specifically targets videos showing harassment of unsuspecting individuals in public locations, including the controversial pickup artist videos and prank content that have proliferated on social media platforms.

“If you’re posting content that is taking advantage of people and harassing them, like a lot of these pickup line kind of videos that we’ve heard of and seen, then we’re going to take the content down,” Mosseri stated. “We don’t want people to be surreptitiously taking videos of other people and harassing them and then posting them on our platform. So we’re trying to fight that every way we can.”

The policy change comes after increasing concerns about the misuse of Meta’s smart glasses technology for creating questionable content. There is a growing trend of videos appearing on TikTok and Instagram Reels where content creators film themselves executing pranks on service industry workers while wearing the glasses. These pranks often cross the line into harassment territory, with examples including incidents where creators spray fart spray into candles at retail stores and then ask employees to smell them.

Following the policy announcement, Business Insider discovered that at least two major accounts belonging to pickup artists who filmed themselves approaching women while wearing Meta glasses had been deactivated. Both accounts previously boasted followings exceeding one million users. A Meta spokesperson confirmed to Business Insider that these accounts were removed for violating the new policy regarding harassing content filmed with the smart glasses.

However, details about the policy’s enforcement mechanisms remain unclear. Meta has not provided specific information about what exactly constitutes a violation under the new rules or how the company plans to systematically identify and remove offending content.

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Google just had its first negative cash flow quarter due to massive AI spending

Google has reported its financial results for the second quarter of 2026 (PDF), and as usual, the search giant raked in an unfathomable amount of money. Google saw total revenue of $119.8 billion, beating analyst expectations by a comfortable margin. Despite that, the company’s stock has taken a hit. Along with all that revenue, Google has announced a further increase in its AI-fueled capital expenditures (or capex). The company is actually spending so much on AI infrastructure that it has negative cash flow for the first time.

Search was the largest chunk of Google’s income, accounting for $63.3 billion. Google Cloud pulled in $24.8 billion, a significant 23.8 percent increase from the first quarter. This shows there is massive demand for Google’s AI services. Google also earned $12.9 billion from its subscriptions, platforms, and devices portfolio, as well as $11.1 billion from YouTube ads. The company managed to goose that last one by more than 12 percent since last quarter as it made YouTube ads even longer.

A significant chunk of Google’s revenue comes from investments. When you subtract those non-cash earnings, Google’s operating cash flow for Q2 2026 was about $39.1 billion. That’s not the most the company has ever seen, but it’s a healthy 40 percent increase from Q2 2025. The problem is that Google’s spending has also gone up—a lot.

Before this latest round of financial updates, Google told investors it was expecting $180 billion to $190 billion in capital expenditures for 2026. Like other AI-obsessed tech behemoths, Google is burning cash on building and running the data centers powering its AI models. These numbers were already well above the $91 billion Google spent in 2025. The company now says it’s planning to spend as much as $205 billion on infrastructure in 2026.

As a result of its increasing AI demands, Google reports it spent $44.9 billion expanding its AI footprint in the second quarter, and you don’t need an accounting degree to know which number is larger. With $39.1 billion in cash income, this spending left Google with -$5.8 billion free cash flow.

To be clear, Google is still profitable—wildly so. It’s also sitting on a war chest of more than $100 billion. But free cash flow is an important metric that goes to the overall health of a business. This is the actual money a company takes in to fund its operations without selling investments or taking out new loans. So it’s notable that Google’s free cash flow has dipped into negative territory for the first time since going public.

Google’s stock price took a hit overnight on the news, dropping about 4.5 percent. It has continued to trend downward today.

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The Fourth Amendment Is Being Liquidated by Subscription

The black pole does not look like tyranny.

That is the point.

It looks like street furniture. A small black camera. A solar panel. A utility box. Nothing dramatic. No uniformed officer standing beside it. No marked police vehicle. No flashing lights. No warrant presented to the driver. In many communities, there was barely any public debate before it appeared.

Yet the device photographs nearly every vehicle that passes. It reads the license plate, records the time and location, identifies the make, model and color, and may catalogue distinctive features such as bumper stickers, roof racks, dents, scratches and damage. That information is uploaded into a cloud platform where police can search for vehicles across time and geography. [1]

The government once needed detectives, informants, stakeouts and court orders to follow someone across a city.

Now it can type a plate number into a privately operated dashboard.

Flock Safety calls this public safety.

A more accurate description is a privately administered ledger of American movement.

This is not merely a story about one overly ambitious technology company. Flock is the case study, but the real subject is the creation of a public-private surveillance regime in which corporations collect the data, venture capital finances the infrastructure, local governments purchase access, federal agencies find side doors into the system, and ordinary citizens are told that none of this is particularly concerning because they were technically visible while driving on a public road.

The state did not formally repeal the Fourth Amendment.

It outsourced its erosion.

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US, Japan, Korea agree to accelerate small modular reactor deployment in Indo-Pacific where data centers are expanding

Nuclear-powered data centers built in certain countries could provide foreign nations access to data and compute via digital embassies: perspective

The United States, Japan, and South Korea sign a trilateral memorandum of cooperation to accelearte small modular reactor (SMR) deployments in other countries, starting with the Indo-Pacific — a region that is rapidly expanding AI  data center construction. 

Today, representatives from the three countries signed the MOC at the sidelines of the NATO Summit in Ankara, Turkey as a means to “foster fleet deployment models that de-risk project development, achieve economies of scale, catalyze private investment, streamline licensing processes, and optimize supply chains.”

“A coordinated trilateral approach positions American, Japanese, and Korean firms to provide partners in the region with more competitive alternatives to meet their growing energy demands and to uphold the highest standards of nuclear safety, security, and nonproliferation as new reactor technology increasingly comes online”US State Department, The United States, Japan, and the Republic of Korea Sign a Trilateral Memorandum of Cooperation on Small Modular Reactor Deployments in Other Countries, July 2026

Nowhere in the US State Department press release does it mention that the SMRs would be used for powering AI data centers.

However, the Indo-Pacific is a region teeming with data center expansion in countries like Indonesia, Japan, Malaysia, and of course, China, which dominates the region with approximately 450 facilities.

According to a 2024 report from the Italian Institute for International Political Studies, data centers are “The Indo-Pacific’s Hottest Trend.”

Meanwhile, small Modular Reactors have been put forth as a potential means to generate between 50MW to 300MW of nuclear power, with applications that include data centers, according to the Idaho National Laboratory. 

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